Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification

2016 ◽  
Vol 385 ◽  
pp. 389-401 ◽  
Author(s):  
Yongbin Liu ◽  
Bing He ◽  
Fang Liu ◽  
Siliang Lu ◽  
Yilei Zhao
Keyword(s):  
Feature Fusion ◽  
Rolling Bearing ◽  
Fault Identification ◽  
Bearing Fault

Product function correntropy and its application in rolling bearing fault identification

Measurement ◽  
2017 ◽  
Vol 97 ◽  
pp. 88-99 ◽  
Author(s):  
Yunxiao Fu ◽  
Limin Jia ◽  
Yong Qin ◽  
Jie Yang
Keyword(s):  
Rolling Bearing ◽  
Fault Identification ◽  
Bearing Fault ◽  
Product Function

scholarly journals Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1560 ◽  
Author(s):  
Tomasz Ciszewski ◽  
Len Gelman ◽  
Andrew Ball
Keyword(s):  
Data Processing ◽  
Rolling Bearing ◽  
Higher Order ◽  
Spectral Triple ◽  
Fault Identification ◽  
Electromechanical Systems ◽  
Processing Technologies ◽  
Bearing Fault ◽  
Triple Correlation ◽  
Electrical Data

It is proposed, developed, investigated, and validated by experiments and modelling for the first time in worldwide terms new data processing technologies, higher order spectral multiple correlation technologies for fault identification for electromechanical systems via electrical data processing. Investigation of the higher order spectral triple correlation technology via modelling has shown that the proposed data processing technology effectively detects component faults. The higher order spectral triple correlation technology successfully applied for rolling bearing fault identification. Experimental investigation of the technology has shown, that the technology effectively identifies rolling bearing fault by electrical data processing at very early stage of fault development. Novel technology comparisons via modelling and experiments of the proposed higher order spectral triple correlation technology and the higher order spectra technology show the higher fault identification effectiveness of the proposed technology over the bicoherence technology.

Rolling Bearing Fault Diagnosis Method Based On LMD Entropy Feature Fusion

2021 ◽  
Author(s):  
Bo Deng ◽  
Jingchao Li ◽  
Haijun Wang ◽  
Cheng Cong ◽  
Yulong Ying ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Feature Fusion ◽  
Rolling Bearing ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Diagnosis Method
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